New computer vision method helps speed up screening of electronic materials
The technique characterizes a material’s electronic properties 85 times faster than conventional methods.
The technique characterizes a material’s electronic properties 85 times faster than conventional methods.
Twelve finalists participated in initiative and 2023-24 MIT-Royalty Pharma Prize Competition, designed to support female biotech pioneers.
A class this semester challenged students to evaluate technologies to help MIT decarbonize — with implications for organizations across the globe.
In the new economics course 14.163 (Algorithms and Behavioral Science), students investigate the deployment of machine-learning tools and their potential to understand people, reduce bias, and improve society.
Smaller than a coin, this optical device could enable rapid prototyping on the go.
MIT researchers show a promising plan for using clean-burning hydrogen in place of the diesel fuel now used in most freight-transport trucks.
During the MIT Science Policy Initiative’s Congressional Visit Days, PhD students and postdocs met with legislators to share expertise and advocate for science agency funding.
The Undergraduate Practice Opportunities Program (UPOP) helps second-year MIT students looking to build career readiness skills.
Ranking at the top for the 13th year in a row, the Institute also places first in 11 subject areas.
New research addresses a gap in understanding how ketamine’s impact on individual neurons leads to pervasive and profound changes in brain network function.
The fellowships provide five years of funding to doctoral students in applied science, engineering, and mathematics who have “the extraordinary creativity and principled leadership necessary to tackle problems others can’t solve.”
MIT CSAIL’s frugal deep-learning model infers the hidden physical properties of objects, then adapts to find the most stable grasps for robots in unstructured environments like homes and fulfillment centers.
An atlas of human protein kinases enables scientists to map cell signaling pathways with unprecedented speed and detail.
With generative AI models, researchers combined robotics data from different sources to help robots learn better.
SMART researchers find a cellular process called transfer ribonucleic acid (tRNA) modification influences the malaria parasite’s ability to develop resistance.